Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

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GPT-4o translates radiology reports written in different languages in less than 30 seconds

These findings could have positive implications for regions with diverse patient populations, authors of a new analysis suggest.

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Radiology cyberattack exposes data from hundreds of thousands of patients in Washington

The incident happened in January of this year, with attackers gaining access to the practice’s systems for five days before they were shut out. 

Pure Storage Webinar

Rethinking Imaging Growth in the AI Era: Pivoting to a Pay Per Study Model

In cooperation with TierPoint and Pure Storage

We all know that imaging data is growing at an unprecedented pace with AI accelerating the curve. For healthcare organizations, this means more pressures on storage, infrastructure, performance and long-term planning. Our panel of imaging leaders will introduce a new model that rethinks how imaging data is stored and accessed, with the goal of supporting both innovation and cost predictability. 

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Large language models outperform physicians at imaging modality selection, study shows

New findings highlight the  “remarkable potential” of these artificial intelligence tools in improving radiology workflows.  

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Hospital system catches 70% of lung cancer cases in earliest stage, thanks to AI intervention

The solution was developed to be adaptable within the EHR, enabling improved communication of incidental findings beyond just pulmonary nodules to include other high-risk findings. 

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One of America’s oldest continuously operating radiology groups suffers apparent cyberattack

Radiology Associates of Richmond, Virginia, first discovered the breach in May following an extensive forensic investigation. 

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Radiology Partners launches new technology services division

The country’s largest imaging group—with 4,000 radiologists working across all 50 states—is rolling out an offshoot called Mosaic Clinical Technologies. 

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GPT-4o's 'all or nothing' accuracy continues to hinder its radiologic capabilities

The model has been trained to process and generate text, images and audio, which has made it a target for researchers seeking ways to improve both radiology workflows and access to quality care in rural settings. 

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